MétaCan
Menu
Back to cohort
Record W2997330914 · doi:10.1002/pmrj.12311

Allopathic (MD) and Osteopathic (DO) Performance on the American Board of Physical Medicine and Rehabilitation Initial Certifying Examinations

2019· article· en· W2997330914 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePM&R · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicOccupational and Professional Licensing Regulation
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsMedicineGraduate medical educationAccreditationOsteopathic medicine in the United StatesPhysical therapyRehabilitationFamily medicineAlternative medicineMedical education

Abstract

fetched live from OpenAlex

BACKGROUND: Osteopathic physicians (DOs) represent over 30% of residents in allopathic (MD) Accreditation Council for Graduate Medical Education (ACGME) accredited physical medicine and rehabilitation (PM&R) training programs. However, some have questioned the quality of osteopathic medical school training and the graduates of osteopathic medical schools. The performance of osteopathic physicians in allopathic PM&R training programs has not been assessed. OBJECTIVE: To compare allopathic (MD) and osteopathic (DO) physician performance on American Board of Physical Medicine and Rehabilitation (ABPMR) initial certifying examinations. DESIGN: Retrospective cross-sectional study. SETTING: Board-eligible PM&R physicians. PARTICIPANTS: MDs and DOs who completed an allopathic ACGME-accredited PM&R residency training program. METHODS: MD and DO pass rates and mean scaled scores on the ABPMR initial certifying examinations were compared. MD versus DO degrees and training program 6 years aggregate board pass rates were independent variables. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: MD and DO pass rates and mean scaled scores on the ABPMR initial certifying examinations. RESULTS: Of the 2187 physicians who were first-time ABPMR initial certifying examination takers, there were 1596 MDs (73%) and 591 DOs (27%). No statistically significant difference was found in pass rates between MDs and DOs on Part I (94.9% vs. 93.9%, P = .35) or Part II (87.8% vs. 88%, P = .83) of the ABPMR certifying examination. Analysis of mean scaled scores demonstrated higher MD scores on both Part I ( 526, SD = 31, vs. 516, SD = 67, P = .002) and Part II ( 6.73, SD = .83 vs. 6.62, SD = .77, P = .005), significant only in programs with a 90%-100% pass rate. These differences, however, were of very small magnitude and likely not meaningful from a clinical or educational perspective. CONCLUSION: This study did not find meaningful differences in performance on the ABPMR certifying examinations between MDs and DOs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.281
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it